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Bayesian Inference

4821 directly classified papers

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Papers

Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition AAAI 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025
General Uncertainty Estimation with Delta Variances AAAI 2025
Accessible, At-Home Detection of Parkinson’s Disease via Multi-Task Video Analysis AAAI 2025
Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration ICCV 2025
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes ICCV 2025
Bayesian-Inspired Space-Time Superpixels ICCV 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
Seal Your Backdoor with Variational Defense ICCV 2025
How To Make Your Cell Tracker Say "I dunno!" ICCV 2025
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025
Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025
On the Natural Gradient of the Evidence Lower Bound JMLR 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025